Stefan Klessinger, Michael Fruth, Valentin Gittinger, Meike Klettke, U. Störl, Stefanie Scherzinger
{"title":"Tagger:一个在JSON模式提取中发现标记联合的工具","authors":"Stefan Klessinger, Michael Fruth, Valentin Gittinger, Meike Klettke, U. Störl, Stefanie Scherzinger","doi":"10.48786/edbt.2023.75","DOIUrl":null,"url":null,"abstract":"This tool demo features an original approach to model inference or schema extraction from collections of JSON documents: We automatically detect tagged unions, an established design pattern in hand-crafted schemas for conditionally declaring subtypes. Our “Tagger” approach is based on the discovery of conditional functional dependencies in a relational encoding of JSON objects. We have integrated our prototype implementation in an open source tool for managing data models in schema-flexible NoSQL data stores. Demo participants can interactively apply different schema extraction algorithms to real-world inputs, and compare the extracted schemas with those produced by “Tagger”.","PeriodicalId":88813,"journal":{"name":"Advances in database technology : proceedings. International Conference on Extending Database Technology","volume":"2096 1","pages":"827-830"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tagger: A Tool for the Discovery of Tagged Unions in JSON Schema Extraction\",\"authors\":\"Stefan Klessinger, Michael Fruth, Valentin Gittinger, Meike Klettke, U. Störl, Stefanie Scherzinger\",\"doi\":\"10.48786/edbt.2023.75\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This tool demo features an original approach to model inference or schema extraction from collections of JSON documents: We automatically detect tagged unions, an established design pattern in hand-crafted schemas for conditionally declaring subtypes. Our “Tagger” approach is based on the discovery of conditional functional dependencies in a relational encoding of JSON objects. We have integrated our prototype implementation in an open source tool for managing data models in schema-flexible NoSQL data stores. Demo participants can interactively apply different schema extraction algorithms to real-world inputs, and compare the extracted schemas with those produced by “Tagger”.\",\"PeriodicalId\":88813,\"journal\":{\"name\":\"Advances in database technology : proceedings. International Conference on Extending Database Technology\",\"volume\":\"2096 1\",\"pages\":\"827-830\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in database technology : proceedings. International Conference on Extending Database Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.48786/edbt.2023.75\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in database technology : proceedings. International Conference on Extending Database Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.48786/edbt.2023.75","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tagger: A Tool for the Discovery of Tagged Unions in JSON Schema Extraction
This tool demo features an original approach to model inference or schema extraction from collections of JSON documents: We automatically detect tagged unions, an established design pattern in hand-crafted schemas for conditionally declaring subtypes. Our “Tagger” approach is based on the discovery of conditional functional dependencies in a relational encoding of JSON objects. We have integrated our prototype implementation in an open source tool for managing data models in schema-flexible NoSQL data stores. Demo participants can interactively apply different schema extraction algorithms to real-world inputs, and compare the extracted schemas with those produced by “Tagger”.